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Principal Software/Data Engineer

1 month ago
United States, Canada
Full-time
Lead
Data Engineer
Software Development
Agile AWS Azure CI/CD Databricks dbt GCP Kafka Kubernetes Microservices Python Scrum SQL
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PointClickCare

PointClickCare

PointClickCare provides a leading cloud-based healthcare software platform that enables long-term and post-acute care providers to effectively manage the complete lifecycle of resident care while enhancing operational efficiency and improving resident ...

Health Care Providers & Services
1K-5K
Founded 2000
$232M raised
View All Jobs 6

Description

  • Lead and guide the design and implementation of scalable streaming data pipelines and real-time data solutions.
  • Engineer and optimize streaming workloads using frameworks such as Apache Kafka, Flink, and Spark Streaming.
  • Enhance and implement batch and real-time data solutions as part of ongoing modernization efforts and adoption of event-driven architectures.
  • Collaborate cross-functionally with product, analytics, and AI teams to ensure data supports business goals and analytics needs.
  • Embed data quality into processing pipelines by defining schema contracts, implementing transformation tests and data assertions, and enforcing backward-compatible schema evolution.
  • Establish and maintain observability for data pipelines by implementing metrics, logging, distributed tracing, SLAs/SLOs, alerting, and dashboards for proactive monitoring and rapid incident response.
  • Drive adoption of best practices in data governance, CI/CD integration, performance tuning, and operational excellence for streaming and batch environments.
  • Mentor and provide technical leadership to engineers, foster a culture of quality through peer reviews, and evangelize modern data practices across teams.

Requirements

  • 10+ years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems.
  • Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor.
  • Deep expertise with streaming technologies such as Apache Kafka, Flink, and Spark Streaming.
  • Strong understanding and hands-on experience with event-driven architectures and building resilient, low-latency distributed systems.
  • Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads.
  • Fluency in data quality practices and CI/CD integration, including schema management, automated testing and validation frameworks (examples: dbt, Great Expectations).
  • Operational excellence in observability with experience implementing metrics, logging, tracing, and alerting for data pipelines.
  • Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi.
  • Solid foundation in data governance, performance optimization, and scalability across batch and streaming environments.
  • Strong collaboration, communication, analytical, and problem-solving skills; ability to learn quickly, work autonomously, and leverage AI tools to accelerate development.

Benefits

  • CAD base salary range $156,000–$174,000 plus bonus and benefits.
  • Benefits starting from day 1, including retirement plan matching.
  • Flexible paid time off and wellness support programs and resources.
  • Parental and caregiver leaves, fertility and adoption support.
  • Continuous development support program and opportunities for growth.
  • Employee Assistance Program, allyship and inclusion communities, and employee recognition programs.
  • Flexible work options (remote or hybrid) with periodic in-office events; accommodations available on request.

Interested in this position?

Apply directly on the company website

Apply Now

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